241440-Lead Assistant Manager

EXL Talent Acquisition Team; Dadri; Sur place; INR 1 200 000 - 2 400 000; Plein temps

Résumé du poste

EXL Talent Acquisition Team is seeking a highly skilled Senior Full Stack Developer with a strong foundation in modern web development and a growing focus on Generative AI (GenAI) and Agentic AI. The ideal candidate has hands-on experience with GenAI tools and is passionate about building intelligent, agent-driven applications.

The role involves designing, building, and maintaining scalable full-stack web applications, integrating GenAI models, and collaborating with cross-functional teams to

Qualifications

• 4–8 years of software development experience.
• Proficiency in JavaScript/TypeScript and React.js.
• Experience with REST APIs, GraphQL, microservices, and CI/CD.

Responsabilités

• Design, develop, and maintain scalable full-stack web apps.
• Integrate GenAI models and agentic AI systems into applications.
• Build and optimize RAG pipelines for enterprise search.
• Collaborate with product, design, and data science teams.
• Stay updated with AI APIs and cloud integrations.

Connaissances

JavaScript/TypeScript

React.js

Node.js

Python

REST APIs

GraphQL

CI/CD

SQL/NoSQL

AWS

Azure

GCP

Formation

Bachelor’s/Master’s in CS/Engineering

Outils

LangChain

LLamaIndex

AutoGen

CrewAI

RAG pipelines

Pinecone

FAISS

Weaviate

OpenAI API

Azure OpenAI

Description du poste

Job Summary:

We are seeking a highly skilled Senior Full Stack Developer with a solid foundation in modern web development and a growing specialization in Generative AI (GenAI) and Agentic AI. The ideal candidate has at least 0.5–1 year of hands‑on experience working with GenAI tools (e.g., OpenAI, Anthropic, LangChain, RAG) and is passionate about building intelligent, agent‑driven applications that solve real‑world problems.

Key Responsibilities:

Design, develop, and maintain scalable full-stack web applications using modern frameworks (e.g., React.js/Next.js, Node.js, Python, etc.). Integrate Generative AI models (LLMs) and Agentic AI systems into web applications using APIs and libraries such as LangChain, LLamaIndex, or Microsoft Semantic Kernel. Build and orchestrate autonomous agents using tools like AutoGen, CrewAI, or similar frameworks. Create and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise search and automation. Collaborate with cross‑functional teams including product, design, and data science to deliver intelligent user experiences. Write clean, testable, and scalable code, and participate in code reviews and Agile ceremonies. Stay up to date with the latest advancements in AI, LLM APIs, cloud integrations (e.g., Azure OpenAI), and developer tooling.

Required Skills:

Core Full Stack: 4–8 years of experience in software development. Proficient in JavaScript/TypeScript, React.js, Node.js, or Python‑based backends (Flask, FastAPI, Django). Experience with REST APIs, GraphQL, microservices, and CI/CD pipelines. Familiarity with SQL/NoSQL databases (PostgreSQL, MongoDB, etc.) and cloud platforms (AWS, Azure, GCP).

AI/GenAI Specific:

0.5–1 year of hands‑on experience in Generative AI applications and prompt engineering. Familiarity with OpenAI API, Anthropic Claude, Hugging Face, etc. Experience with LangChain, LLamaIndex, AutoGen, CrewAI, or similar frameworks for agent‑based design. Understanding of RAG architectures, vector databases (Pinecone, FAISS, Weaviate), and embeddings.

Good to Have:

Experience with MLOps, model fine‑tuning, or custom LLM deployment. Exposure to chatbot frameworks (e.g., Microsoft Bot Framework, Azure AI Bot Service). Contributions to open‑source AI projects or hackathons.

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. Demonstrated ability to build and ship full‑stack products with AI capabilities.

What We Offer:

Opportunity to work on cutting‑edge GenAI & Agentic solutions. Collaborative, fast‑paced, and innovation‑driven culture. Competitive compensation and benefits.